Authors:

Aiden Smith (2173104), https://www.kaggle.com/aidenysmith27

Benjamin Palay (1815593), https://www.kaggle.com/benpalayy

Gia Croock (2128541), https://www.kaggle.com/giacroock

Rael Ware (2153459), https://www.kaggle.com/raelware

Introduction

The titanic is known as one of the most infamous shipwrecks in history. Of the 2240 passengers aboard the ship, at least 1500 died. The titanic machine learning competition by Kaggle presents the objective of predicting whether or not a passenger survived on the titanic. The goal is to train machine learning models so that they know how certain features affect the survival of a passenger. We are giving a training set and a testing set, with the feature correlations must be derived and the models intially tested only on the training set.

1. Import libraries

import pandas as pd
import numpy as np
import missingno
from collections import Counter

# Data visualisation
import seaborn as sns
import matplotlib.pyplot as plt

# Data preprocessing
from sklearn.preprocessing import OneHotEncoder, LabelEncoder

# Machine learning models
from sklearn.linear_model import LogisticRegression, Perceptron, SGDClassifier
from sklearn.svm import SVC, LinearSVC
from sklearn.ensemble import RandomForestClassifier
from sklearn.neighbors import KNeighborsClassifier
from sklearn.naive_bayes import GaussianNB
from sklearn.tree import DecisionTreeClassifier
from sklearn.neural_network import MLPClassifier
from catboost import CatBoostClassifier
from sklearn.model_selection import train_test_split
from sklearn.metrics import mean_squared_error
from numpy import array
import matplotlib.pyplot as pl
from sklearn.ensemble import VotingClassifier

# Model evaluation
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import learning_curve
from sklearn.model_selection import RepeatedStratifiedKFold
# Tuning
from sklearn.feature_selection import RFECV
from sklearn.model_selection import GridSearchCV
from sklearn.model_selection import RandomizedSearchCV


# Remove warnings
import warnings
warnings.filterwarnings('ignore')

2. Import and read data

train = pd.read_csv("train.csv")
test = pd.read_csv("test.csv")

train.head()

	PassengerId	Survived	Pclass	Name	Sex	Age	SibSp	Parch	Ticket	Fare	Cabin	Embarked
0	1	0	3	Braund, Mr. Owen Harris	male	22.0	1	0	A/5 21171	7.2500	NaN	S
1	2	1	1	Cumings, Mrs. John Bradley (Florence Briggs Th...	female	38.0	1	0	PC 17599	71.2833	C85	C
2	3	1	3	Heikkinen, Miss. Laina	female	26.0	0	0	STON/O2. 3101282	7.9250	NaN	S
3	4	1	1	Futrelle, Mrs. Jacques Heath (Lily May Peel)	female	35.0	1	0	113803	53.1000	C123	S
4	5	0	3	Allen, Mr. William Henry	male	35.0	0	0	373450	8.0500	NaN	S

test.head()

	PassengerId	Pclass	Name	Sex	Age	SibSp	Parch	Ticket	Fare	Cabin	Embarked
0	892	3	Kelly, Mr. James	male	34.5	0	0	330911	7.8292	NaN	Q
1	893	3	Wilkes, Mrs. James (Ellen Needs)	female	47.0	1	0	363272	7.0000	NaN	S
2	894	2	Myles, Mr. Thomas Francis	male	62.0	0	0	240276	9.6875	NaN	Q
3	895	3	Wirz, Mr. Albert	male	27.0	0	0	315154	8.6625	NaN	S
4	896	3	Hirvonen, Mrs. Alexander (Helga E Lindqvist)	female	22.0	1	1	3101298	12.2875	NaN	S

3. Data description

The data provided is split into two groups: 1) The training set (train.csv) 2) The testing set (test.csv)

The training set includes a survival column which indicates whether or not the passenger survived. This data set is used to create the machine learning model. The testing set is used to determine how well the model (generated from the training data set) performs on new unseen data. The testing data set does not provide the passengers' survival status. The model generated predicts the passengers' survival status.

The table below provides all the relevant information about the columns in the data sets:

Column Name	Description	Key
PassengerId	Passenger Identity
Survived	Passenger survival status	0 = No, 1 = Yes
Pclass	Ticket class, a representation of socio-economic status (SES)	1 = 1st class, 2 = 2nd class, 3 = 3rd class
Name	Passenger's name
Sex	Passenger's sex
Age	Passengers age (in years)
SibSp	Number of sibling and/or spouse travelling with passenger
Parch	Number of parent and/or children travelling with passenger
Ticket	Ticket number
Fare	Price of the ticket
Cabin	Cabin number
Embarked	Point of embarkation	C = Cherbourg, Q = Queenstown, S = Southampton

More information can be found under the data

4. Data Analysis

Exploratory data analysis is used to gain insight on the data provided. This is achieved by using visualisation tools such as graphs and tables. It will allow us to understand the data and derive preliminary conclusions. Furthermore, it will summerise important trends, characteristics, and abnormalities in the dataset which will ultimately aid in training the model.

The following is explored and analysed:

• Data Types
• The shape of the data
• Missing values in the data
• Statistics derived from the data

4.1 Data types,data shapes, missing data and summary statistics

4.1.1.Data Types

# Non-null count and data types of the training
train.info()

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 891 entries, 0 to 890
Data columns (total 12 columns):
 #   Column       Non-Null Count  Dtype  
---  ------       --------------  -----  
 0   PassengerId  891 non-null    int64  
 1   Survived     891 non-null    int64  
 2   Pclass       891 non-null    int64  
 3   Name         891 non-null    object 
 4   Sex          891 non-null    object 
 5   Age          714 non-null    float64
 6   SibSp        891 non-null    int64  
 7   Parch        891 non-null    int64  
 8   Ticket       891 non-null    object 
 9   Fare         891 non-null    float64
 10  Cabin        204 non-null    object 
 11  Embarked     889 non-null    object 
dtypes: float64(2), int64(5), object(5)
memory usage: 83.7+ KB

Observation: The training-set has 891 rows and 11 features including the target variable (survived). 2 of the features are floats, 5 are integers and 5 are objects. When training, the model requires the data to all be in the form of numbers, therefore these columns will be converted later on.

4.1.2.Data Shape

print("The shape of the training data set: ", train.shape)
print("The shape of the testing data set: ", test.shape)

The shape of the training data set:  (891, 12)
The shape of the testing data set:  (418, 11)

Observation: The testing data set has one column less column than the training data set (the Survived column). As discussed above in section 3, survived is our response/target variable and will therefore be determined from the model derived from the training data.

4.1.3.Missing Values

#Determine what percentage of data is missing values in each column of the training dataset
totalNumberOfDataPoints = train.isnull().sum().sort_values(ascending=False)
percentMissing = train.isnull().sum()/train.isnull().count()*100
percentMissingRounded = (round(percentMissing, 1)).sort_values(ascending=False)
missingData = pd.concat([totalNumberOfDataPoints, percentMissingRounded], axis=1, keys=['Total missing', '%'])
missingData.head(13)

	Total missing	%
Cabin	687	77.1
Age	177	19.9
Embarked	2	0.2
PassengerId	0	0.0
Survived	0	0.0
Pclass	0	0.0
Name	0	0.0
Sex	0	0.0
SibSp	0	0.0
Parch	0	0.0
Ticket	0	0.0
Fare	0	0.0

#Determine what percentage of data is missing values in each column of the testing dataset
totalNumberOfDataPoints = test.isnull().sum().sort_values(ascending=False)
percentMissing = test.isnull().sum()/test.isnull().count()*100
percentMissingRounded = (round(percentMissing, 1)).sort_values(ascending=False)
missingData = pd.concat([totalNumberOfDataPoints, percentMissingRounded], axis=1, keys=['Total missing', '%'])
missingData.head(13)

	Total missing	%
Cabin	327	78.2
Age	86	20.6
Fare	1	0.2
PassengerId	0	0.0
Pclass	0	0.0
Name	0	0.0
Sex	0	0.0
SibSp	0	0.0
Parch	0	0.0
Ticket	0	0.0
Embarked	0	0.0

Observation: From the two tables above it can be seen that the training set has missing values in the Cabin, Age and Embarked columns. The testing dataset has missing values in the Cabin, Age and Fare columns. For the training dataset, the Embarked column only contains two missing values which can be easily dropped or filled. The Age column on the other hand has 177 missing values. We therefore, cannot drop the rows which have missing values in the age column as this will eliminate 20% of the training data. Therefore, these values need to be filled in. The approach taken to fill in the missing values is discussed below in section 5.2. Since the Cabin column is missing 77% of data points, we have decided to drop this column.

4.1.4.Statistics

# Summary of the statistics for the training data set 
train.describe()

	PassengerId	Survived	Pclass	Age	SibSp	Parch	Fare
count	891.000000	891.000000	891.000000	714.000000	891.000000	891.000000	891.000000
mean	446.000000	0.383838	2.308642	29.699118	0.523008	0.381594	32.204208
std	257.353842	0.486592	0.836071	14.526497	1.102743	0.806057	49.693429
min	1.000000	0.000000	1.000000	0.420000	0.000000	0.000000	0.000000
25%	223.500000	0.000000	2.000000	20.125000	0.000000	0.000000	7.910400
50%	446.000000	0.000000	3.000000	28.000000	0.000000	0.000000	14.454200
75%	668.500000	1.000000	3.000000	38.000000	1.000000	0.000000	31.000000
max	891.000000	1.000000	3.000000	80.000000	8.000000	6.000000	512.329200

The table above gives an overview of the central tendencies of the numeric data in the testing dataset.
Observations:

• 38% of people in the training dataset survived the Titanic
• The passenger age ranges from 0.4 to 80 years old.
• There is an outlier in the Fare column because of the differences between the 75th percentile, standard deviation, and the max value (512). We will thus determine how to deal with this outlier by either dropping its corresponding row or filling the outlier with an appropriate value.

4.2 Feature analysis

For feature analysis the training dataset will be split into two categories: 1) Categorical variables 2) Numerical variables

Categorical variables have values belonging to one of two or more categories. Numerical variables have a continuous distribution. Identifying which variables are categorical and which variables are numerical will hel structure the data analysis properly. For example it makes no sense to determine the average of a categorical variable such as sex or class. Furthermore, sex, class and embarked have no intrinsic ordering to its value.

4.2.1 Categorical variables

In this data set the categorical variables are: 1) Sex 2) Pclass 3) Embarked.

4.2.1.1.Categorical variable: Sex

# Value counts of the sex column
train['Sex'].value_counts(dropna = False)

male      577
female    314
Name: Sex, dtype: int64

Observation: There are 263 more male passengers than female passengers in the training dataset. Therefore there it is assumend that the test dataset will have a similiar distribution of sex.

# Mean of survival according to sex
train[['Sex', 'Survived']].groupby('Sex', as_index = False).mean().sort_values(by = 'Survived', ascending = False)

	Sex	Survived
0	female	0.742038
1	male	0.188908

# visualisation for the probability of survival according to sex
sns.barplot(x = 'Sex', y ='Survived', data = train)
plt.ylabel('Probability of survival')
plt.title('Survival Probability by Sex')

Text(0.5, 1.0, 'Survival Probability by Sex')

Observation: Female passengers are more likely to survive.

4.2.1.2.Categorical variable: Pclass

# Value counts of the Pclass column in the training dataset

train['Pclass'].value_counts(dropna = False)

3    491
1    216
2    184
Name: Pclass, dtype: int64

# Mean of survival by passenger class in the training dataset

train[['Pclass', 'Survived']].groupby(['Pclass'], as_index = False).mean().sort_values(by = 'Survived', ascending = False)

	Pclass	Survived
0	1	0.629630
1	2	0.472826
2	3	0.242363

#Pclass distributions for survived and not survived
ax=sns.kdeplot(train.loc[(train['Survived'] == 0),'Pclass'],shade=True,color='r',label='Not Survived')
ax.legend()
ax=sns.kdeplot(train.loc[(train['Survived'] == 1),'Pclass'],shade=True,color='b',label='Survived')
ax.legend()

plt.title("Passenger Class Distribution - Survived vs Non-Survived", fontsize = 25)
labels = ['First', 'Second', 'Third']
plt.xticks(sorted(train.Pclass.unique()),labels);

sns.barplot(x = 'Pclass', y ='Survived', data = train)
plt.ylabel('Survival Probability')
plt.title('Survival Probability by Passenger Class')

Text(0.5, 1.0, 'Survival Probability by Passenger Class')

Observation: The probability of survival decreases with a decrease in passenger class. It can therefore be assumed that first class passengers were prioritised during the evacuation. Evidently, from the two graphs above, Pclass plays an important role in determining whether a passenger did or did not survive. According to the training dataset, 63% of the 1st class passengers survived, 48% of the 2nd class passengers survived and only 24% of the 3rd class passengers survived.

4.2.1.3.Categorical variables combined: Sex and Plass

# Survival by gender and passenger class
sns.factorplot(x = 'Pclass', y = 'Survived', hue = 'Sex', data = train, kind = 'bar').despine(left = True)
plt.ylabel('Survival Probability')
plt.title('Survival Probability by Sex and Passenger Class')

Text(0.5, 1.0, 'Survival Probability by Sex and Passenger Class')

Observation:The graph above indicates that in every class, females where always more likely to survive. It can also be seen that males in the first class were more likely to survive than in any other class.

4.2.1.4.Categorical variable: Embarked

# Value counts of the Embarked column 
#NAN is the missing values in Embarked
train['Embarked'].value_counts(dropna = False)

S      644
C      168
Q       77
NaN      2
Name: Embarked, dtype: int64

# Mean of survival by point of embarkation
train[['Embarked', 'Survived']].groupby(['Embarked'], as_index = False).mean().sort_values(by = 'Survived', ascending = False)

	Embarked	Survived
0	C	0.553571
1	Q	0.389610
2	S	0.336957

#Visualisation for the probability of survival according to point of embarkation
sns.barplot(x = 'Embarked', y ='Survived', data = train)
plt.ylabel('Probability of Survival')
plt.title('Survival Probability by Point of Embarkation')

Text(0.5, 1.0, 'Survival Probability by Point of Embarkation')

Observation: The probability of survival is highest for location C and lowest for location S. Perhaps first class passengers embarked from location C and therefore because first class passengers had a higher chance of survival, location c also has the highest chance of survival. As an alternative perhaps third class passengers embarked from location S and because third class passengers had the lowest chance of survival , location S also has the lowest survival probability. This hypothesis is tested in section 4.2.1.5 below.

4.2.1.5.Categorical variable combined: Embarked and Class

#Gia
# Visualisation for the relationship between class and embark 
sns.factorplot('Pclass', col = 'Embarked', data = train, kind = 'count')

<seaborn.axisgrid.FacetGrid at 0x7f98acbb5760>

Observation: The hypothesis discussed in section 4.1.2.4 appears to be correct. Location S has majority of the third class passengers and the majority of passengers embarking from location C are first class.

4.2.2 Numerical variables

Gia In this dataset, the numerical variables are: 1) SibSp 2) Parch 3) Age 4) Fare

4.2.2.1.Numerical variables correlation with survival

#Heatmap of numerical variables
df_num = train[['Survived','Age','SibSp','Parch','Fare']]
sns.heatmap(df_num.corr(), annot=True,cmap="RdBu")
plt.title("Correlations Among Numeric Features", fontsize = 18);

Observation: The heatmap displayed above shows that Parch and SiSp often travel together.Therefore it will useful to create a byThemselves and a family size feature. we also see that Fare has a pretty large positive correlation to survival, thus it may be an important metric in training the model.

4.2.2.2.Numerical variable: SibSp

# Value counts of the SibSp column 
train['SibSp'].value_counts(dropna = False)

0    608
1    209
2     28
4     18
3     16
8      7
5      5
Name: SibSp, dtype: int64

# Mean of survival by SibSp
train[['SibSp', 'Survived']].groupby('SibSp', as_index = False).mean().sort_values(by = 'Survived', ascending = False)

	SibSp	Survived
1	1	0.535885
2	2	0.464286
0	0	0.345395
3	3	0.250000
4	4	0.166667
5	5	0.000000
6	8	0.000000

#Visualisation for probability of survival according to SiSP 
sns.barplot(x = 'SibSp', y ='Survived', data = train)
plt.ylabel('Survival Probability')
plt.title('Survival Probability by SibSp')

Text(0.5, 1.0, 'Survival Probability by SibSp')

4.2.2.3.Numerical variable: Parch

# Value counts of the Parch column 
train['Parch'].value_counts(dropna = False)

0    678
1    118
2     80
5      5
3      5
4      4
6      1
Name: Parch, dtype: int64

# Mean of survival by Parch
train[['Parch', 'Survived']].groupby('Parch', as_index = False).mean().sort_values(by = 'Survived', ascending = False)

	Parch	Survived
3	3	0.600000
1	1	0.550847
2	2	0.500000
0	0	0.343658
5	5	0.200000
4	4	0.000000
6	6	0.000000

#Visualisation for probability of survival according to Parch
sns.barplot(x = 'Parch', y ='Survived', data = train)
plt.ylabel('Survival Probability')
plt.title('Survival Probability by Parch')

Text(0.5, 1.0, 'Survival Probability by Parch')

4.2.2.4.Numerical variable: Age

# Passenger age distribution
sns.distplot(train['Age'], label = 'Skewness: %.2f'%(train['Age'].skew()))
plt.legend(loc = 'best')
plt.title('Passenger Age Distribution')

Text(0.5, 1.0, 'Passenger Age Distribution')

# Age distribution by survival
sns.FacetGrid(train, col = 'Survived').map(sns.distplot, 'Age')

<seaborn.axisgrid.FacetGrid at 0x7f98ad541970>

sns.kdeplot(train['Age'][train['Survived'] == 0], label = 'Did not survive')
sns.kdeplot(train['Age'][train['Survived'] == 1], label = 'Survived')
plt.xlabel('Age')
plt.legend()
plt.title('Passenger Age Distribution by Survival')

Text(0.5, 1.0, 'Passenger Age Distribution by Survival')

4.2.2.5.Numerical variable: Fare

# Passenger fare distribution
sns.distplot(train['Fare'], label = 'Skewness: %.2f'%(train['Fare'].skew()))
plt.legend(loc = 'best')
plt.ylabel('Passenger Fare Distribution')

Text(0, 0.5, 'Passenger Fare Distribution')

Observation: The majority of passengers paid low fares where there are few people who paid very large fares.

sns.FacetGrid(train, col = 'Survived').map(sns.distplot, 'Fare')

<seaborn.axisgrid.FacetGrid at 0x7f98adcf4520>

sns.kdeplot(train['Fare'][train['Survived'] == 0], label = 'Did not survive')
sns.kdeplot(train['Fare'][train['Survived'] == 1], label = 'Survived')
plt.xlabel('Fare')
plt.legend()
plt.title('Passenger Fare Distribution by Survival')

Text(0.5, 1.0, 'Passenger Fare Distribution by Survival')

4.2.3 Correlation between categorical and numerical

4.2.3.1.All variables

sns.heatmap(train[['Survived', 'SibSp', 'Parch', 'Age', 'Fare','Pclass']].corr(), annot = True, fmt = '.2f', cmap='RdBu')

<AxesSubplot:>

Observation: Fare appears to have a high correlation with survival and Pclass has a high ngeative correlation with survival.

5. Data preprocessing

Now that we know what features are correlated and some other important factors, we can get the dataset into a form to be modelled and trained. This includes:

• Data transformation
• Dealing with ouliers
• Drop and fill missing values
• Feature engineering
• Feature encoding

5.1 Data transformation

Apply a log transformation to fair as it has a high right-skewnewss

#  fare distribution
sns.distplot(train['Fare'], label = 'Skewness: %.2f'%(train['Fare'].skew()))
plt.legend(loc = 'best')
plt.title('Passenger Fare Distribution')

Text(0.5, 1.0, 'Passenger Fare Distribution')

# In order to reduce skewness in fare, apply log transformation 
# In order to not lose the single missing value , we fill it now with the median fare 
# Fill missing value for Fare 
median = test['Fare'].dropna().median()
test['Fare'].fillna(median, inplace = True)

train['Fare'] = train['Fare'].map(lambda x: np.log(x) if x > 0 else 0)
test['Fare'] = test['Fare'].map(lambda x: np.log(x) if x > 0 else 0)

# After log transformation

sns.distplot(train['Fare'], label = 'Skewness: %.2f'%(train['Fare'].skew()))
plt.legend(loc = 'best')
plt.title('Fare Distribution After Log Transformation')

Text(0.5, 1.0, 'Fare Distribution After Log Transformation')

5.2 Remove Outliers

Outliers are points in the dataset that don't conform with majority of the data (they are extreme values). Outliers need to be addressed as they tend to skew data and can cause inaccurate model predictions. The Tukey method is used to detect these outliers. Outliers can only be determined for numeric data.

# Drop outliers 
def detect_outliers(df, n, features):
    """"
    This function loops through the list of features and detects outliers in each feature. A data point is considered to be 
    an outlier if it is less than Q1-1.5*IQR or if it is greater than Q3+1.5*IQR. Once the outliers have been determined for 
    a feature, their indices will be stored in a list and then the loop will proceed to the next feature. This process repeats
    until the last feature is complete. Finally, using the list with the indices of the outliers, the frequency of outliers is
    determined and if the frequency is greater than n then the list fill be returned.    
    """
    outlierIndices = [] 
    for col in features: 
        Q1 = np.percentile(df[col], 25)
        Q3 = np.percentile(df[col], 75)
        IQR = Q3 - Q1
        outlierStep = 1.5 * IQR 
        outlierList = df[(df[col] < Q1 - outlierStep) | (df[col] > Q3 + outlierStep)].index
        outlierIndices.extend(outlierList) 
    outlierIndices = Counter(outlierIndices)
    multipleOutliers = list(key for key, value in outlierIndices.items() if value > n) 
    return multipleOutliers
outliers_to_drop_test = detect_outliers(test, 2, ['Age', 'SibSp', 'Parch', 'Fare'])
outliers_to_drop = detect_outliers(train, 2, ['Age', 'SibSp', 'Parch', 'Fare'])
print("The indices where outliers occur are {}: ".format(len(outliers_to_drop)), outliers_to_drop) 
print("Train Set Before: {} rows".format(len(train)))
train = train.drop(outliers_to_drop, axis = 0).reset_index(drop = True)
print("Train Set After: {} rows".format(len(train)))

The indices where outliers occur are 3:  [27, 88, 341]
Train Set Before: 891 rows
Train Set After: 888 rows

# Outliers in numerical variables
#Visualise the 10 rows identified above as rows containing outliers
train.loc[outliers_to_drop, :]

	PassengerId	Survived	Pclass	Name	Sex	Age	SibSp	Parch	Ticket	Fare	Cabin	Embarked
27	29	1	3	O'Dwyer, Miss. Ellen "Nellie"	female	NaN	0	0	330959	2.064226	NaN	Q
88	91	0	3	Christmann, Mr. Emil	male	29.0	0	0	343276	2.085672	NaN	S
341	345	0	2	Fox, Mr. Stanley Hubert	male	36.0	0	0	229236	2.564949	NaN	S

5.3 Drop and fill missing values

# Drop ticket and cabin features from training and test set as they are unique or missing many values
train = train.drop(['Ticket', 'Cabin'], axis = 1)
test = test.drop(['Ticket', 'Cabin'], axis = 1)

train.isnull().sum().sort_values(ascending = False)

Age            177
Embarked         2
PassengerId      0
Survived         0
Pclass           0
Name             0
Sex              0
SibSp            0
Parch            0
Fare             0
dtype: int64

# Fill missing value in Embarked with mode as only 3 values
mode = train['Embarked'].dropna().mode()[0]
train['Embarked'].fillna(mode, inplace = True)

test.isnull().sum().sort_values(ascending = False)

Age            86
PassengerId     0
Pclass          0
Name            0
Sex             0
SibSp           0
Parch           0
Fare            0
Embarked        0
dtype: int64

# Check where indeces of missing ages are
age_nan_indices_train = list(train[train['Age'].isnull()].index)
len(age_nan_indices_train)
age_nan_indices_test = list(test[test['Age'].isnull()].index)

Age is negatively correlated with SibSp, Parch and Pclass as shown in section 4. Loop through each of the rows which have the same corresponding values and fill the missing age with their median. Otherwise fill with the Age median.

median_age = train['Age'].median()

for index in age_nan_indices_train:
    predict_age = train['Age'][(train['SibSp'] == train.iloc[index]['SibSp']) 
                                 & (train['Parch'] == train.iloc[index]['Parch'])
                                 & (train['Pclass'] == train.iloc[index]["Pclass"])].median()
    if np.isnan(predict_age):
        train['Age'].iloc[index] = median_age
    else:
        train['Age'].iloc[index] = predict_age
combine = pd.concat([train, test], axis = 0).reset_index(drop = True)
median_age = combine['Age'].median()
for index in age_nan_indices_test:
    #use larger sample to fill test data 
    test['Age'].iloc[index] = median_age

# Make sure there are no more missing ages 
print(train['Age'].isnull().sum())
test['Age'].isnull().sum()

0

0

5.4 Feature engineering

We create new features from existing features to obtain an improved model.

5.4.1 Title

train.head()

	PassengerId	Survived	Pclass	Name	Sex	Age	SibSp	Parch	Fare	Embarked
0	1	0	3	Braund, Mr. Owen Harris	male	22.0	1	0	1.981001	S
1	2	1	1	Cumings, Mrs. John Bradley (Florence Briggs Th...	female	38.0	1	0	4.266662	C
2	3	1	3	Heikkinen, Miss. Laina	female	26.0	0	0	2.070022	S
3	4	1	1	Futrelle, Mrs. Jacques Heath (Lily May Peel)	female	35.0	1	0	3.972177	S
4	5	0	3	Allen, Mr. William Henry	male	35.0	0	0	2.085672	S

#Title from name column
train['Title'] = [name.split(',')[1].split('.')[0].strip() for name in train['Name']]
train[['Name', 'Title']].head()
test['Title'] = [name.split(',')[1].split('.')[0].strip() for name in test['Name']]
test[['Name', 'Title']].head()

	Name	Title
0	Kelly, Mr. James	Mr
1	Wilkes, Mrs. James (Ellen Needs)	Mrs
2	Myles, Mr. Thomas Francis	Mr
3	Wirz, Mr. Albert	Mr
4	Hirvonen, Mrs. Alexander (Helga E Lindqvist)	Mrs

# Value counts of Title
train['Title'].value_counts()

Mr              516
Miss            180
Mrs             125
Master           40
Dr                7
Rev               6
Mlle              2
Major             2
Col               2
the Countess      1
Capt              1
Ms                1
Sir               1
Lady              1
Mme               1
Don               1
Jonkheer          1
Name: Title, dtype: int64

# visualise the testing titles
test['Title'].value_counts()

Mr        240
Miss       78
Mrs        72
Master     21
Col         2
Rev         2
Ms          1
Dr          1
Dona        1
Name: Title, dtype: int64

Simplify Title as there are several unique titles that do not necessarily have a trend

train['Title'] = train['Title'].replace(['Dr', 'Rev', 'Col', 'Major', 'Lady', 'Jonkheer', 'Don', 'Capt', 'the Countess',
                                             'Sir'], 'Rare')
train['Title'] = train['Title'].replace(['Mlle', 'Ms'], 'Miss')
train['Title'] = train['Title'].replace('Mme', 'Mrs')

test['Title'] = test['Title'].replace(['Dr', 'Rev', 'Col',  'Capt', 'Dona'], 'Rare')
test['Title'] = test['Title'].replace(['Ms'], 'Miss')

Drop the name column as title has been extracted

train = train.drop('Name', axis = 1)
train.head()

test = test.drop('Name', axis = 1)
test.head()

	PassengerId	Pclass	Sex	Age	SibSp	Parch	Fare	Embarked	Title
0	892	3	male	34.5	0	0	2.057860	Q	Mr
1	893	3	female	47.0	1	0	1.945910	S	Mrs
2	894	2	male	62.0	0	0	2.270836	Q	Mr
3	895	3	male	27.0	0	0	2.159003	S	Mr
4	896	3	female	22.0	1	1	2.508582	S	Mrs

train[['Title', 'Survived']].groupby(['Title'], as_index = False).mean().sort_values(by = 'Survived', ascending = False)

	Title	Survived
3	Mrs	0.793651
1	Miss	0.699454
0	Master	0.575000
4	Rare	0.347826
2	Mr	0.156977

Observation: Woman and young males had a high chance of survival.

5.4.2 byThemselves

Simplify and summarize data to show if passenegers were alone, as opposed to information about both siblings and parents

train['FamilySize'] = train['SibSp'] + train['Parch'] + 1
train[['SibSp', 'Parch', 'FamilySize']].head()

test['FamilySize'] = test['SibSp'] + test['Parch'] + 1
test[['SibSp', 'Parch', 'FamilySize']].head()

	SibSp	Parch	FamilySize
0	0	0	1
1	1	0	2
2	0	0	1
3	0	0	1
4	1	1	3

# Create byThemselves feature as familySize may have more information than we need, leading to overfitting
train['byThemselves'] = 0
train.loc[train['FamilySize'] == 1, 'byThemselves'] = 1

test['byThemselves'] = 0
test.loc[test['FamilySize'] == 1, 'byThemselves'] = 1

# Drop SibSp, Parch and FamilySize as this is contained in byThemselves

train = train.drop(['SibSp', 'Parch','FamilySize'], axis = 1)
test = test.drop(['SibSp', 'Parch','FamilySize'], axis = 1)
train.head()

	PassengerId	Survived	Pclass	Sex	Age	Fare	Embarked	Title	byThemselves
0	1	0	3	male	22.0	1.981001	S	Mr	0
1	2	1	1	female	38.0	4.266662	C	Mrs	0
2	3	1	3	female	26.0	2.070022	S	Miss	1
3	4	1	1	female	35.0	3.972177	S	Mrs	0
4	5	0	3	male	35.0	2.085672	S	Mr	1

5.4.3 Age*Class

First convert Age into an ordinal variable. Group Ages into 4 age bands

train['AgeBand'] = pd.cut(train['Age'], 4)
test['AgeBand'] = pd.cut(test['Age'], 4)
print(train['AgeBand'].head(10))

0    (20.315, 40.21]
1    (20.315, 40.21]
2    (20.315, 40.21]
3    (20.315, 40.21]
4    (20.315, 40.21]
5    (20.315, 40.21]
6    (40.21, 60.105]
7     (0.34, 20.315]
8    (20.315, 40.21]
9     (0.34, 20.315]
Name: AgeBand, dtype: category
Categories (4, interval[float64, right]): [(0.34, 20.315] < (20.315, 40.21] < (40.21, 60.105] < (60.105, 80.0]]

train.loc[train['Age'] <= 20.315, 'Age'] = 0
train.loc[(train['Age'] > 20.315) & (train['Age'] <= 40.21), 'Age'] = 1
train.loc[(train['Age'] > 40.21) & (train['Age'] <= 60.105), 'Age'] = 2
train.loc[train['Age'] > 60.105,'Age'] = 3

test.loc[test['Age'] <= 20.315, 'Age'] = 0
test.loc[(test['Age'] > 20.315) & (test['Age'] <= 40.21), 'Age'] = 1
test.loc[(test['Age'] > 40.21) & (test['Age'] <= 60.105), 'Age'] = 2
test.loc[test['Age'] > 60.105,'Age'] = 3

# Drop age band feature
train = train.drop('AgeBand', axis = 1)
test = test.drop('AgeBand', axis = 1)

# Convert ordinal Age into integer
train['Age'] = train['Age'].astype('int')
test['Age'] = test['Age'].astype('int')
train['Age'].dtype

dtype('int64')

# Create Age*Class

train['Age*Class'] = train['Age'] * train['Pclass']
test['Age*Class'] = test['Age'] * test['Pclass']
train[['Age', 'Pclass', 'Age*Class']].head()

	Age	Pclass	Age*Class
0	1	3	3
1	1	1	1
2	1	3	3
3	1	1	1
4	1	3	3

# Bin Fare 
train['FareBand'] = pd.qcut(train['Fare'], 4)
test['FareBand'] = pd.qcut(test['Fare'], 4)
train['FareBand'].head(10)

0    (-0.001, 2.066]
1     (3.427, 6.239]
2     (2.066, 2.671]
3     (3.427, 6.239]
4     (2.066, 2.671]
5     (2.066, 2.671]
6     (3.427, 6.239]
7     (2.671, 3.427]
8     (2.066, 2.671]
9     (2.671, 3.427]
Name: FareBand, dtype: category
Categories (4, interval[float64, right]): [(-0.001, 2.066] < (2.066, 2.671] < (2.671, 3.427] < (3.427, 6.239]]

#ordinal encoding, simliar to age
train.loc[train['Fare'] <= 2.066, 'Fare'] = 0
train.loc[(train['Fare'] > 2.066) & (train['Fare'] <= 2.671), 'Fare'] = 1
train.loc[(train['Fare'] > 2.671) & (train['Fare'] <= 3.418), 'Fare'] = 2
train.loc[train['Fare'] > 3.418, 'Fare'] = 3

test.loc[test['Fare'] <= 2.066, 'Fare'] = 0
test.loc[(test['Fare'] > 2.066) & (test['Fare'] <= 2.671), 'Fare'] = 1
test.loc[(test['Fare'] > 2.671) & (test['Fare'] <= 3.418), 'Fare'] = 2
test.loc[test['Fare'] > 3.418, 'Fare'] = 3

train = train.drop(['FareBand'], axis = 1)
test = test.drop(['FareBand'], axis = 1)

# Convert Fare into integer
train['Fare'] = train['Fare'].astype('int')
test['Fare'] = test['Fare'].astype('int')

5.5 Feature encoding

Variables must be numeric to use for machine learning. Age and Fare were done when Binning.

train.head()

	PassengerId	Survived	Pclass	Sex	Age	Fare	Embarked	Title	byThemselves	Age*Class
0	1	0	3	male	1	0	S	Mr	0	3
1	2	1	1	female	1	3	C	Mrs	0	1
2	3	1	3	female	1	1	S	Miss	1	3
3	4	1	1	female	1	3	S	Mrs	0	1
4	5	0	3	male	1	1	S	Mr	1	3

label = LabelEncoder() 
train['Embarked'] = label.fit_transform(train['Embarked'])
test['Embarked'] = label.fit_transform(test['Embarked'])
train['Title'] = label.fit_transform(train['Title'])
test['Title'] = label.fit_transform(test['Title'])
train['Sex'] = train['Sex'].map({'male': 0, 'female': 1})
test['Sex'] = test['Sex'].map({'male': 0, 'female': 1})

train.head()

	PassengerId	Survived	Pclass	Sex	Age	Fare	Embarked	Title	byThemselves	Age*Class
0	1	0	3	0	1	0	2	2	0	3
1	2	1	1	1	1	3	0	3	0	1
2	3	1	3	1	1	1	2	1	1	3
3	4	1	1	1	1	3	2	3	0	1
4	5	0	3	0	1	1	2	2	1	3

train = train.drop('PassengerId', axis = 1)
train.head()

	Survived	Pclass	Sex	Age	Fare	Embarked	Title	byThemselves	Age*Class
0	0	3	0	1	0	2	2	0	3
1	1	1	1	1	3	0	3	0	1
2	1	3	1	1	1	2	1	1	3
3	1	1	1	1	3	2	3	0	1
4	0	3	0	1	1	2	2	1	3

train['Survived'] = train['Survived'].astype('int')
train.head()

	Survived	Pclass	Sex	Age	Fare	Embarked	Title	byThemselves	Age*Class
0	0	3	0	1	0	2	2	0	3
1	1	1	1	1	3	0	3	0	1
2	1	3	1	1	1	2	1	1	3
3	1	1	1	1	3	2	3	0	1
4	0	3	0	1	1	2	2	1	3

test.head()

	PassengerId	Pclass	Sex	Age	Fare	Embarked	Title	byThemselves	Age*Class
0	892	3	0	1	0	1	2	1	3
1	893	3	1	2	0	2	3	0	6
2	894	2	0	3	1	1	2	1	6
3	895	3	0	1	1	2	2	1	3
4	896	3	1	1	1	2	3	0	3

sns.heatmap(train[['Survived', 'Pclass', 'Sex', 'Age', 'Fare','Embarked','Title','byThemselves','Age*Class']].corr(), annot = True, fmt = '.2f', cmap='RdBu')

<AxesSubplot:>

After data preprocessing, we can see how all of the new and remaining features are correlated in the figure above. Clearly sex has the greatest correlation with survived.

6. Modelling

For the modelling part of this project we will utilise the Scikit-learn library for machine learning.

As discussed above, this is a classfication problem, so consequently will use classfication models for our training. We have chosen to investigate the performance of the following classifiers as these are commonly used classifiers:

• Logistic regression
• Multi Layer Perceptron
• K-nearest neighbours
• Gaussian naive bayes
• Linear SVC
• Stochastic gradient descent
• Random forest
• Support vector machines

In this section , we will fit the models to the training data set and evaluate the models' prediction accuracy. Further on we will implement feature tuning and hyperparameter tuning to further boost the performance of the the following models:

• Logistic regression
• Multi Layer Perceptron
• K-nearest neighbours
• Random Forest

X_train = train.drop('Survived', axis = 1)
Y_train = train['Survived']
X_test = test.drop('PassengerId', axis = 1).copy()

6.1 K-fold cross validation

It is important to not get too carried away with models with impressive training accuracy as what we should focus on instead is the model's ability to predict out-of-samples data, in other words, data our model has not seen before.

This is where k-fold cross validation comes in. K-fold cross validation is a technique whereby a subset of our training set is kept aside and will act as holdout set for testing purposes. Here is a great video explaining the concept in more detail.

We compute the accuracy and cross-entropy log-loss for each algorithm to determine its performance metrics.

# Create a list which contains classifiers 
classifiers = [ MLPClassifier(),
                LogisticRegression(), 
                GaussianNB(),
                KNeighborsClassifier(n_neighbors = 5), 
                SVC(),  
                SGDClassifier(), 
                LinearSVC(),
                RandomForestClassifier(),
               ]

if len(classifiers) is not 8: 
    print("error")

cross_val_results = []
cross_val_losses = []

for classifier in classifiers:
    cross_val_results.append(cross_val_score(classifier, X_train, Y_train, scoring = 'accuracy', cv = 5))
    cross_val_losses.append(cross_val_score(classifier, X_train, Y_train, scoring = 'neg_log_loss', cv = 5))

# Mean and standard deviation of cross validation results for each classifier  

cross_val_mean = []
cross_val_std = []
cross_val_loss_mean =[]
cross_val_loss_std = []

for cross_val_result in cross_val_results:
    cross_val_mean.append(cross_val_result.mean())
    cross_val_std.append(cross_val_result.std())

for cross_val_loss in cross_val_losses:
    cross_val_loss_mean.append(cross_val_loss.mean())
    cross_val_loss_std.append(cross_val_loss.std())    

    
    
#putting our cross val mean and standard deviation for each algorithm into a data frame
cross_val_res = pd.DataFrame({'Cross Validation Mean': cross_val_mean, 'Cross Validation Std': cross_val_std, 'Algorithm': [ 'Multilayer perceptron','Logistic Regression','Naive Bayes', 'K Nearest Neighbours', 'Support Vector Machines', 'Stochastic Gradient Decent', 'Linear SVC', 'Random Forest']})
cross_val_los = pd.DataFrame({'Cross Validation Mean': cross_val_loss_mean, 'Cross Validation Std': cross_val_loss_std, 'Algorithm': [ 'Multilayer perceptron','Logistic Regression','Naive Bayes', 'K Nearest Neighbours', 'Support Vector Machines', 'Stochastic Gradient Decent', 'Linear SVC', 'Random Forest']})
print('Table Showing Cross Validation Mean Accuracy')
print(cross_val_res.sort_values(by = 'Cross Validation Mean', ascending = False, ignore_index = True))
print('\nTable Showing Cross Validation Mean Loss')
print(cross_val_los.sort_values(by = 'Cross Validation Mean', ascending = True, ignore_index = True))

Table Showing Cross Validation Mean Accuracy
   Cross Validation Mean  Cross Validation Std                   Algorithm
0               0.823177              0.019265     Support Vector Machines
1               0.814213              0.030445               Random Forest
2               0.808582              0.021194       Multilayer perceptron
3               0.806316              0.007373        K Nearest Neighbours
4               0.786066              0.014223         Logistic Regression
5               0.786034              0.010095                  Linear SVC
6               0.757938              0.038280                 Naive Bayes
7               0.690402              0.050621  Stochastic Gradient Decent

Table Showing Cross Validation Mean Loss
   Cross Validation Mean  Cross Validation Std                   Algorithm
0              -1.786652              0.799673        K Nearest Neighbours
1              -1.094779              0.648324               Random Forest
2              -0.631391              0.109492                 Naive Bayes
3              -0.463390              0.020620         Logistic Regression
4              -0.441436              0.037594       Multilayer perceptron
5                    NaN                   NaN     Support Vector Machines
6                    NaN                   NaN  Stochastic Gradient Decent
7                    NaN                   NaN                  Linear SVC

Observation: Support Vector Machines has the greatest accuracy followed by Random Forest and MLP. However, MLP has the least observable loss and would appear to be the 'best' at first glance.

Nonetheless, 4 algorithms will be tuned below and the scores observed once more.

sns.barplot('Cross Validation Mean', 'Algorithm', data = cross_val_res, order = cross_val_res.sort_values(by = 'Cross Validation Mean', ascending = False)['Algorithm'], palette = 'Set3', **{'xerr': cross_val_std})
plt.ylabel('Algorithm')
plt.title('Cross Validation Scores')

Text(0.5, 1.0, 'Cross Validation Scores')

sns.barplot('Cross Validation Mean', 'Algorithm', data = cross_val_los, order = cross_val_los.sort_values(by = 'Cross Validation Mean', ascending = False)['Algorithm'], palette = 'Set3', **{'xerr': cross_val_loss_std})
plt.ylabel('Algorithm')
plt.title('Cross Validation Losses')

Text(0.5, 1.0, 'Cross Validation Losses')

6.2 Tuning

6.2.1 Feature Tuning

The best remaining features can be found for each algorithm and the rest can be dropped for each respective algorithm.

Logistic Regression

# the number of correct classifications (survived or did not survive) is proportional to the "accuracy" scoring
RFECV1 = RFECV(estimator=LogisticRegression(), step=1, cv=10, scoring='accuracy')
RFECV1.fit(X_train, Y_train)

print("Optimal number of features: %d" % RFECV1.n_features_)
print('Selected features: %s' % list(X_train.columns[RFECV1.support_]))

# Plot the number of features VS. the CV scores
plt.xlabel("Number of features that are selected")
plt.ylabel("Cross validation score ")
plt.plot(range(1, len(RFECV1.grid_scores_) + 1), RFECV1.grid_scores_)
plt.show()

Optimal number of features: 6
Selected features: ['Pclass', 'Sex', 'Age', 'Embarked', 'Title', 'Age*Class']

X_train_LR = X_train.drop(['byThemselves', 'Fare'], axis =1).copy()
X_test_LR = X_test.drop(['byThemselves', 'Fare'], axis =1).copy()

Random Forest

RFECV2 = RFECV(estimator=RandomForestClassifier(), step=1, cv=10, scoring='accuracy')
RFECV2.fit(X_train, Y_train)

print("Optimal number of features: %d" % RFECV2.n_features_)
print('Selected features: %s' % list(X_train.columns[RFECV2.support_]))

# Plot the number of features VS. the CV scores
plt.xlabel("Number of features that are selected")
plt.ylabel("Cross validation score ")
plt.plot(range(1, len(RFECV2.grid_scores_) + 1), RFECV2.grid_scores_)
plt.show()

Optimal number of features: 5
Selected features: ['Pclass', 'Sex', 'Fare', 'Title', 'Age*Class']

#based on the above, for Random Forest we should drop 3 columns
X_train_RF = X_train.drop(['Age'], axis =1).copy()
X_test_RF = X_test.drop(['Age'], axis =1).copy()

MLP and KNN have intrinsic feature importance selection and so do not need to have it manually performed.

6.2.2 Hyperparameter Tuning

Hyperparameter tuning is the process of tuning the parameters of a model.

6.2.2.1 Hyperparameter tuning for MLP

mlp = MLPClassifier(max_iter=50)
param_grid = {'alpha': [1,1e-3,1e-5],  
              'hidden_layer_sizes': [(50,50,50),(3,), (50,190,3), (64,64,64) ],
              'activation': ['tanh','relu','logistic'],  
              'solver': ['sgd','adam'],
              'learning_rate': ['constant','adaptive']
}
grid = GridSearchCV(mlp, param_grid,n_jobs=-1, cv=5) 
grid.fit(X_train, Y_train)
MLP_tuned= grid.best_estimator_
MLP_trained_tuned=MLP_tuned.fit(X_train, Y_train)
print("Best parameters: ", grid.best_params_) 
Y_pred = MLP_trained_tuned.predict(X_test)
submit = pd.DataFrame({'PassengerId': test['PassengerId'], 'Survived': Y_pred})
submit.to_csv("submissionMLP.csv", index = False)

/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
  warnings.warn(

Best parameters:  {'activation': 'relu', 'alpha': 1e-05, 'hidden_layer_sizes': (64, 64, 64), 'learning_rate': 'constant', 'solver': 'adam'}

The multilayer perceptron(MLP) is an Artificial neural network with one or more hidden layers. The MLP has the advantage over the Perceptron algorithm in that it is able to handle non linear mapping of inputs to outputs. The MLP is a feedforward algorithm that performs a weighted summation of the inputs and their respective weights. This summation is then fed into a activation function such as ReLU to determine the output. The output of each of this nodes is then fed into the next hidden layers and then to the output. The MLP also has back propagation which allows it to iteratively adjust the weights in the network to reduce the cost function. The MLP was chosen for hyperparameter tuning as it has one of the highest accuracy scores and one of the lowest standard deviations (Bento, 2021).

Using the GridSearchCV method with the following parameters: a grid of hyperparameters and a K-fold cross validation value. The parameter grid includes the alpha value used for regularization(which reduces overfitting), values for how many nodes in each of the 3 hidden layers , the activation function , the solver used for backpropagation and the learning rate. The gridSearchCV then finds the parameters which result in the highest accurcay (1.17. Neural network models (supervised), n.d.).

Bento, C., 2021. Multilayer Perceptron Explained with a Real-Life Example and Python Code: Sentiment Analysis. [online] Medium. Available at: https://towardsdatascience.com/multilayer-perceptron-explained-with-a-real-life-example-and-python-code-sentiment-analysis-cb408ee93141 [Accessed 14 June 2022].

scikit-learn. n.d. 1.17. Neural network models (supervised). [online] Available at: https://scikit-learn.org/stable/modules/neural_networks_supervised.html [Accessed 14 June 2022].

(Aiden)

6.2.2.2 Hyperparameter tuning for KNN

leaf_size = list(range(1,50))
n_neighbors = list(range(1,30))
p=[1,2]
hyperparameters = dict(leaf_size=leaf_size, n_neighbors=n_neighbors, p=p)
grid = GridSearchCV(KNeighborsClassifier(), hyperparameters, cv=5,n_jobs=-1 )
grid.fit(X_train, Y_train)
KNN_tuned = grid.best_estimator_
KNN_trained_tuned=KNN_tuned.fit(X_train, Y_train)
survival_predications2=KNN_trained_tuned.predict(X_test)
print("Best parameters: ", grid.best_params_) 
Y_pred = KNN_trained_tuned.predict(X_test)
submit = pd.DataFrame({'PassengerId': test['PassengerId'], 'Survived': Y_pred})
submit.to_csv("submissionKNN.csv", index = False)

Best parameters:  {'leaf_size': 45, 'n_neighbors': 9, 'p': 1}

Explanation

6.2.3 Hyperparameter tuning for Random Forest

param_grid = {'bootstrap': [True, False],
 'max_depth': [10, 20, 40, 60],
 'max_features': ['auto', 'sqrt'],
 'min_samples_leaf': [1, 2, 4],
 'min_samples_split': [2, 5, 10],
 'n_estimators': [  200, 1000,1600 ,1800, 2000]}

#randomzed search to decrease time frame
grid = RandomizedSearchCV(RandomForestClassifier(), param_grid, refit = True, n_iter = 25, cv = 5, verbose=3, n_jobs =-1)
grid.fit(X_train_RF, Y_train)
RF_tuned = grid.best_estimator_
RF_trained_tuned = RF_tuned.fit(X_train_RF, Y_train) #using the feature tuning sets
print("Best parameters: ", grid.best_params_)
Y_pred = RF_trained_tuned.predict(X_test_RF)
submit = pd.DataFrame({'PassengerId': test['PassengerId'], 'Survived': Y_pred})
submit.to_csv("submissionRF.csv", index = False)

Fitting 5 folds for each of 25 candidates, totalling 125 fits
[CV 2/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.787 total time=   1.4s
[CV 1/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.792 total time=   1.7s
[CV 4/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.785 total time=   1.7s
[CV 3/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.848 total time=   1.7s
[CV 5/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.842 total time=   1.9s
[CV 3/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.860 total time=   1.6s
[CV 1/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.803 total time=   1.6s
[CV 2/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.803 total time=   1.7s
[CV 4/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.808 total time=   1.1s
[CV 5/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.836 total time=   1.1s
[CV 1/5] END bootstrap=True, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.787 total time=   8.5s
[CV 2/5] END bootstrap=True, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.803 total time=   8.6s
[CV 4/5] END bootstrap=True, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.808 total time=   8.3s
[CV 3/5] END bootstrap=True, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.860 total time=   8.4s
[CV 1/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1800;, score=0.787 total time=   7.7s
[CV 3/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1800;, score=0.848 total time=   7.4s
[CV 2/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1800;, score=0.798 total time=   7.6s
[CV 5/5] END bootstrap=True, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.842 total time=   9.4s
[CV 4/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1800;, score=0.808 total time=   5.4s
[CV 5/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1800;, score=0.836 total time=   6.0s
[CV 1/5] END bootstrap=True, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=2000;, score=0.798 total time=   8.7s
[CV 2/5] END bootstrap=True, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=2000;, score=0.803 total time=   8.6s
[CV 1/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.798 total time=   0.6s
[CV 2/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.798 total time=   0.6s
[CV 3/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.860 total time=   0.6s
[CV 4/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.814 total time=   0.6s
[CV 5/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.831 total time=   0.6s
[CV 3/5] END bootstrap=True, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=2000;, score=0.860 total time=   8.9s
[CV 4/5] END bootstrap=True, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=2000;, score=0.808 total time=   8.7s
[CV 5/5] END bootstrap=True, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=2000;, score=0.836 total time=   8.8s
[CV 1/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1600;, score=0.792 total time=   9.5s
[CV 2/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1600;, score=0.798 total time=  10.4s
[CV 3/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1600;, score=0.843 total time=  10.5s
[CV 4/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1600;, score=0.785 total time=  10.0s
[CV 5/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1600;, score=0.847 total time=   8.5s
[CV 1/5] END bootstrap=True, max_depth=40, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1800;, score=0.798 total time=   8.5s
[CV 2/5] END bootstrap=True, max_depth=40, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1800;, score=0.798 total time=   8.2s
[CV 3/5] END bootstrap=True, max_depth=40, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1800;, score=0.854 total time=   8.2s
[CV 1/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000;, score=0.792 total time=   3.8s
[CV 4/5] END bootstrap=True, max_depth=40, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1800;, score=0.808 total time=   7.8s
[CV 2/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000;, score=0.787 total time=   3.1s
[CV 3/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000;, score=0.843 total time=   3.1s
[CV 5/5] END bootstrap=True, max_depth=40, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1800;, score=0.836 total time=   8.0s
[CV 1/5] END bootstrap=False, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.798 total time=   0.8s
[CV 2/5] END bootstrap=False, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.798 total time=   0.9s
[CV 4/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000;, score=0.802 total time=   3.2s
[CV 3/5] END bootstrap=False, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.860 total time=   0.6s
[CV 4/5] END bootstrap=False, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.814 total time=   0.6s
[CV 5/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000;, score=0.836 total time=   3.2s
[CV 5/5] END bootstrap=False, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.825 total time=   0.6s
[CV 1/5] END bootstrap=True, max_depth=20, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000;, score=0.792 total time=   4.2s
[CV 3/5] END bootstrap=True, max_depth=20, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000;, score=0.848 total time=   4.3s
[CV 2/5] END bootstrap=True, max_depth=20, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000;, score=0.781 total time=   4.7s
[CV 4/5] END bootstrap=True, max_depth=20, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000;, score=0.785 total time=   4.6s
[CV 5/5] END bootstrap=True, max_depth=20, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000;, score=0.842 total time=   7.5s
[CV 1/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1600;, score=0.787 total time=   9.4s
[CV 2/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1600;, score=0.809 total time=   9.2s
[CV 3/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1600;, score=0.837 total time=   9.2s
[CV 1/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.798 total time=   0.8s
[CV 2/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.803 total time=   0.7s
[CV 3/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.860 total time=   0.7s
[CV 4/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.802 total time=   0.8s
[CV 5/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.842 total time=   0.7s
[CV 4/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1600;, score=0.808 total time=   5.8s
[CV 5/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1600;, score=0.842 total time=   5.7s
[CV 1/5] END bootstrap=True, max_depth=60, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1600;, score=0.798 total time=   5.9s
[CV 2/5] END bootstrap=True, max_depth=60, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1600;, score=0.809 total time=   5.9s
[CV 1/5] END bootstrap=False, max_depth=20, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.792 total time=   0.5s
[CV 3/5] END bootstrap=True, max_depth=60, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1600;, score=0.860 total time=   5.9s
[CV 2/5] END bootstrap=False, max_depth=20, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.781 total time=   0.5s
[CV 3/5] END bootstrap=False, max_depth=20, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.843 total time=   0.5s
[CV 4/5] END bootstrap=False, max_depth=20, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.802 total time=   0.6s
[CV 5/5] END bootstrap=False, max_depth=20, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.831 total time=   0.6s
[CV 4/5] END bootstrap=True, max_depth=60, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1600;, score=0.808 total time=   6.0s
[CV 5/5] END bootstrap=True, max_depth=60, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1600;, score=0.847 total time=   5.6s
[CV 1/5] END bootstrap=False, max_depth=20, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=2000;, score=0.792 total time=   5.5s
[CV 2/5] END bootstrap=False, max_depth=20, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=2000;, score=0.787 total time=   5.5s
[CV 3/5] END bootstrap=False, max_depth=20, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=2000;, score=0.843 total time=   6.2s
[CV 4/5] END bootstrap=False, max_depth=20, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=2000;, score=0.802 total time=   6.3s
[CV 1/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000;, score=0.781 total time=   4.4s
[CV 2/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000;, score=0.792 total time=   4.3s
[CV 5/5] END bootstrap=False, max_depth=20, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=2000;, score=0.831 total time=   6.8s
[CV 3/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000;, score=0.843 total time=   5.1s
[CV 4/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000;, score=0.819 total time=   5.6s
[CV 5/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000;, score=0.847 total time=   6.1s
[CV 1/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1800;, score=0.787 total time=   9.5s
[CV 2/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1800;, score=0.809 total time=   8.5s
[CV 3/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1800;, score=0.860 total time=   8.1s
[CV 4/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1800;, score=0.808 total time=   9.0s
[CV 5/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1800;, score=0.831 total time=   9.8s
[CV 1/5] END bootstrap=False, max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.792 total time=   9.2s
[CV 2/5] END bootstrap=False, max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.798 total time=   9.1s
[CV 3/5] END bootstrap=False, max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.860 total time=   7.6s
[CV 4/5] END bootstrap=False, max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.814 total time=   5.9s
[CV 5/5] END bootstrap=False, max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.836 total time=   5.9s
[CV 1/5] END bootstrap=True, max_depth=40, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1600;, score=0.787 total time=   5.9s
[CV 2/5] END bootstrap=True, max_depth=40, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1600;, score=0.792 total time=   6.3s
[CV 3/5] END bootstrap=True, max_depth=40, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1600;, score=0.860 total time=   8.6s
[CV 4/5] END bootstrap=True, max_depth=40, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1600;, score=0.808 total time=   9.4s
[CV 5/5] END bootstrap=True, max_depth=40, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1600;, score=0.842 total time=   9.7s
[CV 1/5] END bootstrap=True, max_depth=20, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1800;, score=0.798 total time=  11.2s
[CV 2/5] END bootstrap=True, max_depth=20, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1800;, score=0.787 total time=  10.6s
[CV 1/5] END bootstrap=False, max_depth=60, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200;, score=0.798 total time=   0.6s
[CV 3/5] END bootstrap=True, max_depth=20, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1800;, score=0.860 total time=   9.7s
[CV 4/5] END bootstrap=True, max_depth=20, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1800;, score=0.808 total time=   9.3s
[CV 2/5] END bootstrap=False, max_depth=60, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200;, score=0.792 total time=   0.8s
[CV 3/5] END bootstrap=False, max_depth=60, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200;, score=0.860 total time=   0.9s
[CV 4/5] END bootstrap=False, max_depth=60, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200;, score=0.814 total time=   0.6s
[CV 5/5] END bootstrap=False, max_depth=60, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200;, score=0.847 total time=   0.6s
[CV 5/5] END bootstrap=True, max_depth=20, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1800;, score=0.842 total time=   8.6s
[CV 1/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1800;, score=0.792 total time=   7.2s
[CV 2/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1800;, score=0.798 total time=   7.5s
[CV 3/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1800;, score=0.848 total time=   7.6s
[CV 1/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.809 total time=   0.6s
[CV 2/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.809 total time=   0.7s
[CV 3/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.865 total time=   0.7s
[CV 4/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.814 total time=   0.7s
[CV 4/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1800;, score=0.797 total time=   7.1s
[CV 5/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.842 total time=   0.8s
[CV 1/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200;, score=0.798 total time=   0.9s
[CV 2/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200;, score=0.798 total time=   0.9s
[CV 3/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200;, score=0.848 total time=   1.3s
[CV 4/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200;, score=0.808 total time=   1.3s
[CV 5/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200;, score=0.853 total time=   1.1s
[CV 5/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1800;, score=0.847 total time=   6.4s
Best parameters:  {'n_estimators': 200, 'min_samples_split': 5, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'max_depth': 10, 'bootstrap': True}

The Random Forest algorithm is considered a good classifying model( Dedja et al, 2022). It is a supervised machine learning algorithm. As it was one of the selected algorithms that produced one of the highest cross-validation accuracy scores and one of the lowest cross-validation loss scores, it was chosen to be tuned and retrained. The random forest machine learning algorithm takes the output of multiple decision trees and ‘democratically’ chooses the final outcome (Tibco, 2022).

Decision trees themselves essentially ask true or false questions that lead to a final answer. In other words, each question (for example, ‘male’ or ‘female’?) is a node, and the outcome is a leaf node (Yiu, 2019). The idea is to have results of subgroups that are similar to one another but are different from the other groups (Yiu, 2019). The random forest works well because while some decision trees may be wrong, many others will be correct. Therefore, as a group, the decision trees can move in the right direction (Yiu, 2019). By using a concept known as ‘bagging,’ where each individual decision tree can randomly sample from the training dataset, with replacement, random forest will have different trees and therefore a low correlation between them (Yiu, 2019). The uncorrelated errors between the different trees means that they ‘protect each other’ from their individual errors. This generally results in a precise classifying algorithm overall.

Using the RandomizedSearchCV method for time-efficiency, a grid of hyperparameters can be randomly sampled, with K-Fold cross-validation being performed with each combination of parameter values. The hyperparameters that were searched through include: number of trees in the forest; number of data points per node before it must be split; minimum number of data points allowed in a leaf node; the maximum number of levels of each tree; and with or without replacement. Thereafter, the model is then retrained using the new-found ‘best’ hyperparameters

Dedja,K., Pliakos,K., Vens,C., 2022. Explaining random forest prediction through diverse rulesets.

TIBCO Software. 2022. What is a Random Forest?. [online] Available at: https://www.tibco.com/reference-center/what-is-a-random-forest [Accessed 14 June 2022].

Yiu, T., 2019. Understanding Random Forest. [online] Medium. Available at: https://towardsdatascience.com/understanding-random-forest-58381e0602d2 [Accessed 3 June 2022].

(Ben)

6.2.2.4 Hyperparameter tuning for LogReg

# define models and parameters
model = LogisticRegression()
solvers = ['newton-cg', 'lbfgs', 'liblinear','sag','saga']
penalty = ['none','l2','l1','elasticnet']
c_values = [100, 10, 1.0, 0.1, 0.01,1e-05, 3, 0.1, 1e-4, 1e-2]
# define grid search
grid = dict(solver=solvers,penalty=penalty,C=c_values)
cv = RepeatedStratifiedKFold(n_splits=10, n_repeats=3, random_state=1)
grid_search = GridSearchCV(estimator=model, param_grid=grid, n_jobs=-1, cv=cv, scoring='accuracy',error_score=0)

LR_trained_tuned = grid_search.fit(X_train_LR, Y_train)
LR_tuned = grid_search.best_estimator_
# summarize results
print("Best result of %f using %s" % (LR_trained_tuned.best_score_, LR_trained_tuned.best_params_))
means = LR_trained_tuned.cv_results_['mean_test_score']
stds = LR_trained_tuned.cv_results_['std_test_score']
params = LR_trained_tuned.cv_results_['params']
Y_pred = LR_trained_tuned.predict(X_test_LR)
submit = pd.DataFrame({'PassengerId': test['PassengerId'], 'Survived': Y_pred})
submit.to_csv("submissionLR.csv", index = False)

/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
    raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
  warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
    raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
    raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)

  warnings.warn("Estimator fit failed. The score on this train-test"

Best result of 0.793186 using {'C': 0.1, 'penalty': 'l1', 'solver': 'liblinear'}

/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: 
Traceback (most recent call last):
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
    solver = _check_solver(self.solver, self.penalty, self.dual)
  File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
    raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.

  warnings.warn("Estimator fit failed. The score on this train-test"

Explanation

Results after tuning:

The results after tuning 4 of the models, as well as the original cross-validation scores for the models that were utilised but not tuned.

cross_val_results = []
cross_val_losses = []
# Train using each model, finding accuracy and loss. :
cross_val_results.append(cross_val_score(RF_tuned, X_train_RF, Y_train, scoring = 'accuracy', cv = 5))
cross_val_losses.append(cross_val_score(RF_tuned, X_train_RF, Y_train, scoring = 'neg_log_loss', cv = 5))
cross_val_results.append(cross_val_score(KNN_tuned, X_train, Y_train, scoring = 'accuracy', cv = 5))
cross_val_losses.append(cross_val_score(KNN_tuned, X_train, Y_train, scoring = 'neg_log_loss', cv = 5))
cross_val_results.append(cross_val_score(LR_tuned, X_train_LR, Y_train, scoring = 'accuracy', cv = 5))
cross_val_losses.append(cross_val_score(LR_tuned, X_train_LR, Y_train, scoring = 'neg_log_loss', cv = 5))
cross_val_results.append(cross_val_score(MLP_tuned, X_train, Y_train, scoring = 'accuracy', cv = 5))
cross_val_losses.append(cross_val_score(MLP_tuned, X_train, Y_train, scoring = 'neg_log_loss', cv = 5))

remaining_classifiers = [  
                GaussianNB(),
                SVC(),  
                SGDClassifier(), 
                LinearSVC(),
               ]


for classifier in remaining_classifiers:
    cross_val_results.append(cross_val_score(classifier, X_train, Y_train, scoring = 'accuracy', cv = 5))
    cross_val_losses.append(cross_val_score(classifier, X_train, Y_train, scoring = 'neg_log_loss', cv = 5))

# Mean and standard deviation of cross validation results for each classifier  

cross_val_mean = []
cross_val_std = []
cross_val_loss_mean =[]
cross_val_loss_std = []

for cross_val_result in cross_val_results:
    cross_val_mean.append(cross_val_result.mean())
    cross_val_std.append(cross_val_result.std())

for cross_val_loss in cross_val_losses:
    cross_val_loss_mean.append(cross_val_loss.mean())
    cross_val_loss_std.append(cross_val_loss.std())    

    
    
#putting our cross val mean and standard deviation for each algorithm into a data frame
cross_val_res = pd.DataFrame({'Cross Validation Mean': cross_val_mean, 'Cross Validation Std': cross_val_std, 'Algorithm': [ 'Random Forest', 'K Nearest Neighbours','Logistic Regression','Multilayer perceptron','Naive Bayes', 'Support Vector Machines', 'Stochastic Gradient Decent', 'Linear SVC']})
cross_val_los = pd.DataFrame({'Cross Validation Mean': cross_val_loss_mean, 'Cross Validation Std': cross_val_loss_std, 'Algorithm':  [ 'Random Forest', 'K Nearest Neighbours','Logistic Regression','Multilayer perceptron','Naive Bayes', 'Support Vector Machines', 'Stochastic Gradient Decent', 'Linear SVC']})
print('Table Showing Cross Validation Mean Accuracy')
print(cross_val_res.sort_values(by = 'Cross Validation Mean', ascending = False, ignore_index = True))
print('\nTable Showing Cross Validation Mean Loss')
print(cross_val_los.sort_values(by = 'Cross Validation Mean', ascending = True, ignore_index = True))

Observation

The tuned algorithms show improvement in accuracy as compared to before being tuned.

6.3.4 Ensembles

If cross-val scores were above 80 and the loss was above -2, assign a weighting of 2. Otherwise 1.

#train the other models now with no validation set to be used in the ensemble
GNBtrained=GaussianNB().fit(X_train, Y_train)
SVCtrained=SVC().fit(X_train, Y_train)
LSVCtrained=LinearSVC().fit(X_train, Y_train)
SGDtrained=SGDClassifier().fit(X_train, Y_train)

voting_classifier_hard = VotingClassifier(estimators = [('mlp',MLP_trained_tuned),('knn',KNN_trained_tuned),('knn2',KNN_trained_tuned),('lg',LR_trained_tuned),('rf',RF_trained_tuned),('rf2',RF_trained_tuned),('gnb',GNBtrained),('svc',SVCtrained),('svc2',SVCtrained),('lsvc',LSVCtrained),('sgd',SGDtrained)], voting = 'hard') 
voting_classifier_hard_trained=voting_classifier_hard.fit(X_train, Y_train)
survival_predications=voting_classifier_hard_trained.predict(X_test)

CV = cross_val_score(voting_classifier_hard,X_train,Y_train,cv=5)
print('voting classifier cross validation score :',CV)
print('voting classifier cross validation score mean :',CV.mean())
print('voting classifier cross validation score standard deviation :',CV.std())

7. Preparing data for submission

We want our submission dataframe to have 418 rows and 2 columns, PassengerId and Survived.

# Create submission dataframe

submit = pd.DataFrame({'PassengerId': test['PassengerId'], 'Survived': survival_predications})
submit.head()

Our dataframe is ready for submission!

# Create and save csv file 
submit.to_csv("submission.csv", index = False)

8. Possible extensions to improve model accuracy

1. Analyse ticket and cabin features
   • Do these features help predict passenger survival?
   • If yes, consider including them in the training set instead of dropping
2. Come up with alternative features in feature engineering
   • Is there any other features you can potentially create from existing features in the dataset
3. Remove features that are less important
   • Does removing features help reduce overfitting in the model?
4. Ensemble modelling
   • This is a more advanced technique whereby you combine prediction results from multiple machine learning models

9. Conclusion

References

https://github.com/chongjason914/kaggle-titanic

https://www.kaggle.com/code/ldfreeman3/a-data-science-framework-to-achieve-99-accuracy

https://github.com/murilogustineli/Titanic-Classification

https://www.kaggle.com/code/kenjee/titanic-project-example/notebook